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Using Python for Signal Processing and Visualization
Found in: Computing in Science and Engineering
By Erik W. Anderson, Gilbert A. Preston, Claudio T. Silva
Issue Date:July 2010
pp. 90-95
<p>Applying Python to a neuroscience project let developers put complex data processing and advanced visualization techniques together in a coherent framework.</p>
 
Provenance in Comparative Analysis: A Study in Cosmology
Found in: Computing in Science and Engineering
By Erik W. Anderson, James P. Ahrens, Katrin Heitmann, Salman Habib, Cláudio T. Silva
Issue Date:May 2008
pp. 30-37
Provenance—the logging of information about how data came into being and how it was processed—is an essential aspect of managing large-scale simulation and data-intensive projects. Using a cosmology code comparison project as an example, this article prese...
 
Interactive Vector Field Feature Identification
Found in: IEEE Transactions on Visualization and Computer Graphics
By Joel Daniels II, Erik W. Anderson, Luis Gustavo Nonato, Cláudio T. Silva
Issue Date:November 2010
pp. 1560-1568
We introduce a flexible technique for interactive exploration of vector field data through classification derived from userspecified feature templates. Our method is founded on the observation that, while similar features within the vector field may bespat...
 
Hardware-Assisted Point-Based Volume Rendering of Tetrahedral Meshes
Found in: Graphics, Patterns and Images, SIBGRAPI Conference on
By Erik W. Anderson, Steven P. Callahan, Carlos E. Scheidegger, John M. Schreiner, Claudio T. Silva
Issue Date:October 2007
pp. 163-172
Unstructured volume grids are ubiquitous in scientific computing, and have received substantial interest from the scientific visualization community. In this paper, we take a point-based approach to rendering unstructured grids. In particular, we present a...
 
Evaluating visualization using cognitive measures
Found in: Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization (BELIV '12)
By Erik W. Anderson
Issue Date:October 2012
pp. 1-4
In this position paper, we discuss the problems and advantages of using physiological measurements to to estimate cognitive load in order to evaluate scientific visualization methods. We will present various techniques and technologies designed to measure ...
     
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